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Betting on what is neither verifiable nor falsifiable (2402.14021v1)

Published 29 Jan 2024 in cs.GT, cs.AI, and cs.LO

Abstract: Prediction markets are useful for estimating probabilities of claims whose truth will be revealed at some fixed time -- this includes questions about the values of real-world events (i.e. statistical uncertainty), and questions about the values of primitive recursive functions (i.e. logical or algorithmic uncertainty). However, they cannot be directly applied to questions without a fixed resolution criterion, and real-world applications of prediction markets to such questions often amount to predicting not whether a sentence is true, but whether it will be proven. Such questions could be represented by countable unions or intersections of more basic events, or as First-Order-Logic sentences on the Arithmetical Hierarchy (or even beyond FOL, as hyperarithmetical sentences). In this paper, we propose an approach to betting on such events via options, or equivalently as bets on the outcome of a "verification-falsification game". Our work thus acts as an alternative to the existing framework of Garrabrant induction for logical uncertainty, and relates to the stance known as constructivism in the philosophy of mathematics; furthermore it has broader implications for philosophy and mathematical logic.

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References (28)
  1. Vincent Conitzer “Prediction Markets, Mechanism Design, and Cooperative Game Theory”, 2012 DOI: 10.48550/arXiv.1205.2654
  2. Robin Hanson “Logarithmic Market Scoring Rules for Modular Combinatorial Information Aggregation” In The Journal of Prediction Markets 1.1, 2002, pp. 3–15 DOI: 10.5750/jpm.v1i1.417
  3. Robin Hanson “Combinatorial Information Market Design” In Information Systems Frontiers 5.1, 2003, pp. 107–119 DOI: 10.1023/A:1022058209073
  4. Stephen Thornton “Karl Popper” In The Stanford Encyclopedia of Philosophy Metaphysics Research Lab, Stanford University, 2023 URL: https://plato.stanford.edu/archives/win2023/entries/popper/
  5. Wolfram Pohlers “Computability Theory of Hyperarithmetical Sets”, 1999
  6. “Computable Structures and the Hyperarithmetical Hierarchy” Elsevier Science, 2000
  7. Yiannis N. Moschovakis “Descriptive Set Theory” American Mathematical Soc., 2009
  8. Alexander S. Kechris “Classical Descriptive Set Theory” 156, Graduate Texts in Mathematics New York, NY: Springer New York, 1995 DOI: 10.1007/978-1-4612-4190-4
  9. “Logical Induction”, 2016 arXiv: http://arxiv.org/abs/1609.03543
  10. Caspar Oesterheld, Abram Demski and Vincent Conitzer “A Theory of Bounded Inductive Rationality” In Electronic Proceedings in Theoretical Computer Science 379, 2023, pp. 421–440 DOI: 10.4204/EPTCS.379.33
  11. “Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions”, 2020 DOI: 10.48550/arXiv.2007.02382
  12. Ivo Kwee, Marcus Hutter and Juergen Schmidhuber “Market-Based Reinforcement Learning in Partially Observable Worlds”, 2001 DOI: 10.48550/arXiv.cs/0105025
  13. Eric B. Baum “Toward a Model of Intelligence as an Economy of Agents” In Machine Learning 35.2, 1999, pp. 155–185 DOI: 10.1023/A:1007593124513
  14. David Balduzzi “Cortical Prediction Markets”, 2014 DOI: 10.48550/arXiv.1401.1465
  15. Joseph Y. Halpern and Rafael Pass “Algorithmic Rationality: Game Theory with Costly Computation” In CoRR abs/1412.2993, 2014 arXiv: http://arxiv.org/abs/1412.2993
  16. Joseph Y. Halpern and Rafael Pass “I Don’t Want to Think About It Now:Decision Theory With Costly Computation” In CoRR abs/1106.2657, 2011 arXiv: http://arxiv.org/abs/1106.2657
  17. Jk Gts Hintikka and G. Sandu “Game-Theoretic Semantics” In Handbook of Logic and Language MIT Press, 1997
  18. “Between Proof and Truth” In Synthese 187.3, 2012, pp. 821–832 DOI: 10.1007/s11229-011-9903-y
  19. CWoo “Quantifier Algebra”, 2013 Planet Math URL: https://planetmath.org/quantifieralgebra
  20. “Probability and Finance: It’s Only a Game!” John Wiley & Sons, 2005
  21. “Game-Theoretic Foundations for Probability and Finance” John Wiley & Sons, 2019
  22. Giorgi Japaridze “In the Beginning Was Game Semantics” In Games: Unifying Logic, Language and Philosophy Berlin: Springer Verlag, 2009, pp. 249–350 DOI: 10.1007/978-1-4020-9374-6˙11
  23. Giorgi Japaridze “Survey of Computability Logic”, 2015 URL: http://www.csc.villanova.edu/~japaridz/CL/
  24. Denis Bonnay “Preuves et Jeux Sémantiques” In Philosophia Scientiae 8.2, 2004, pp. 105–123 URL: http://www.numdam.org/item/PHSC_2004__8_2_105_0/
  25. tailcalled “Latent Variables for Prediction Markets: Motivation, Technical Guide, and Design Considerations”, 2023 LessWrong URL: https://www.lesswrong.com/posts/ufW5LvcwDuL6qjdBT/
  26. Paul Christiano, Mark Xu and Ajeya Cotra “Eliciting Latent Knowledge”, 2021 URL: https://docs.google.com/document/d/1WwsnJQstPq91_Yh-Ch2XRL8H_EpsnjrC1dwZXR37PC8/edit?usp=embed_facebook
  27. Aurélien Baillon “Bayesian Markets to Elicit Private Information” In Proceedings of the National Academy of Sciences 114.30 Proceedings of the National Academy of Sciences, 2017, pp. 7958–7962 DOI: 10.1073/pnas.1703486114
  28. “Simple Bets to Elicit Private Signals” In Theoretical Economics 16.3, 2021, pp. 777–797 DOI: 10.3982/TE4343

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